The AIR U.S. Hurricane

Size: px
Start display at page:

Download "The AIR U.S. Hurricane"

Transcription

1 The AIR U.S. Hurricane Model for Offshore Assets The Gulf of Mexico contains thousands of platforms and rigs of various designs that produce 1.4 million barrels of oil and 8 billion cubic feet of gas per day nearly 30% and 20% of the production of the entire U.S., respectively. As the Gulf of Mexico s share of domestic oil and gas production grows more than doubling in the last 15 years an ever larger portion of the nation s energy supply is at risk from hurricanes.

2 More than 130 hurricanes have formed in or entered into the Gulf of Mexico since In 2004 and 2005 alone, Hurricanes Ivan, Katrina and Rita inflicted unprecedented damage to offshore assets. Together, Katrina and Rita collapsed some 120 major platforms and rigs. Many other minor platforms, such as free-standing caissons and well protectors, were destroyed and more than 2,000 additional platforms suffered lesser degrees of damage. The combined insured losses to offshore assets caused by the hurricanes of 2004 and 2005 are estimated by the industry to be in the range of $15 billion. This represents only a fraction of the total ground-up losses, with the rest being absorbed by platform operators. Modeling Hurricane Risk to Offshore Assets Where and what kinds of platforms and rigs are in the Gulf and how valuable are they? What is the nature of the hazard they face? How vulnerable are the platforms and rigs exposed to that hazard? How big are the potential losses? Any assessment of hurricane risk to offshore assets must address four primary issues: the exposure at risk, the hazard, the vulnerability of the exposed inventory, and appropriately modeling the complex policy conditions that prevail in this market. Sound Modeling Begins with a Comprehensive Exposure Database Of the approximately 6,000 platforms and rigs currently in operation in the Gulf, about 4,200 are located in federal waters, while the rest are in the state waters of Louisiana and Texas. Using public and private data from the Mineral Management Service (MMS), the Louisiana Department of Natural Resources, private vendors, and platform operators, AIR s exposure database contains detailed characteristics necessary to make realistic assessments of their vulnerability and loss potential. Replacement costs an essential input for accurate loss estimates are included for each single platform and rig. The replacement cost of the entire fleet exceeds $75B, with unit replacement costs varying from a few million dollars for a typical caisson in shallow water to more than $1B for the largest semi-submersible in operation. In addition to the name, location, installation date, type and replacement cost of each platform, AIR s exposure database also contains critical information for assessing the vulnerability of each structure, such as the actual deck height, the number of legs and framing system, the number of wells in operation, the number of decks, and oil and gas production rates. Location of platforms and rigs currently operating in federal and state waters

3 Model at a Glance Modeled Perils Hurricane winds and waves Model Domain State and federal waters of the Gulf of Mexico Software Systems CATRADER, CLASIC/2 TM Supported Geographic CATRADER: Protraction Resolution CLASIC/2: Protraction and Block, Latitude and Longitude Vulnerability Module Supports 14 types of platforms and rigs: caissons, well protectors, jackets, submersibles, compliant towers, jackups, tension leg platforms, mini tension leg platforms, SPAR buoys, semisubmersibles, drill ships, drill rigs (mounted on fixed and floating platforms), subsea production units, and unknown Leveraging the Proven Strengths of AIR s U.S. Hurricane Model The AIR U.S. Hurricane Model for Offshore Assets leverages the proven strengths of AIR s U.S. Hurricane Model, which has been the industry standard for assessing hurricane risk since it was introduced in The model s catalog of simulated storms contains tens of thousands of events capable of causing damage and loss scenarios representing the entire spectrum of potential storm experience in the Gulf of Mexico. The model s simulated windfield, which has been extensively validated against observations, detailed claims data and other sources, calculates the maximum 1-minute and 3s-gust wind speeds at various altitudes above mean sea level to account for variable platform deck heights. Modeling Wave Heights A key component is the model s unique wave height module. Maximum wave crest height, the best predictor of physical damage to platforms and rigs, is calculated using an empirical parametric model that includes the effects of storm surge. The model considers the storm s forward velocity, maximum wind speed and water depth, all of which play in important role in determining both the magnitude as well as the spatial distribution of waves. The model has been validated against observations and historical wave height data from NOAA and other sources. Assessing Vulnerability to Wind and Waves For fixed platforms, deck and topside equipment typically bear the brunt of hurricane force winds, while waves generate most of the damage to the structure and foundation. But for intense storms, wave crests can be high enough to hit the deck, causing extremely high impact loads that most platforms are not designed to sustain. Floating platforms that are tied to the seafloor by mooring systems or tethers are designed to ride the waves. These typically suffer minor damage until the combined forces of the elements break the restraining lines or sever the tethers. When that happens, the platform either floats away from the original site, colliding with whatever is in its path, or capsizes. High Low Modeled wind speeds (left), wave crest heights (middle) and surge heights (right) for Hurricane Katrina

4 The AIR model features separate damage functions for wind and wave for each of 14 supported platform types. The wave damage functions account for the age of the structure and important characteristics such as deck height, number of legs, and bracing system. The wind damage functions consider both deck height and the number of decks installed on the platform topside. Coverages and Policy Terms Specific to the Offshore Market The AIR U.S. Hurricane Model for Offshore Assets accounts for the most important insurance coverages in the offshore energy market, including: Physical damage (PD) Direct and contingent business interruption (BI + CBI) Operator s extra expense (OEE) Removal of debris (ROD) The AIR model explicitly handles policy conditions specific to this unique market, including Combined Single Limits and Assured Interest. Combined Single Limits are applied at the policy level, with limits and attachment points applied to an ordered set of coverages. Sublimits can be applied to all or some locations in a policy, by coverage. Both Combined Single Limits and Sublimits can be applied on a 100% participation basis or Assured Interest basis. Validation of Modeled Losses Modeled loss estimates for all coverages have been extensively validated against data representing nearly 50% of claims filed for Hurricanes Ivan, Katrina and Rita. The modeled oil and gas loss of production for these storms were validated against MMS official shutin data. The losses were computed using the exposure and production rates at the time of the storms, since oil and gas production rates per platform fluctuate and, on average, more than 100 new platforms are built and more than 100 old platforms are decommissioned every year. In addition to physical damage, business interruption, debris removal, and well restoration or redrilling are also significant drivers of insured loss. In fact, business Katrina/Rita Katrina/Rita interruption losses from large and intense storms can be a multiple of the losses resulting from physical damage. A realistic estimate of such losses requires an in-depth understanding of the activities needed for repairing damaged platforms, clearing debris from the MMS MMS site and restoring or re-drilling damaged wells and AIR AIR 0 0 how these activities are impacted by water depth. The # Days # Days model s BI damage functions for producing platforms Comparison of AIR-modeled and actual shut-in data for Katrina and Rita account for pre-storm shutdown time, the level of physical damage, the size of the operating company, and the percentage of platforms impacted by the storm to estimate the level of demand surge. CLASIC/2 s user interface supports common offshore policy terms % of Daily Oil Production % Daily Gas Production Using the Model within CLASIC/2 and CATRADER CLASIC/2 has been enhanced in several ways to support the U.S. Hurricane Model for Offshore Assets. New Construction and Occupancy Types specific to offshore risks are supported, as are policy conditions such as Limits by Coverage, Combined Single Limit (CSL) with 100% Participation, and Combined Single Limit (CSL) with Assured Interest. The user interface, importing, exporting, and reporting utilities have been updated to easily handle offshore policy terms and exposure data. (Cont.)

5 (Continued from previous page) One of the unique features of the model s implementation in CLASIC/2 is its data validation and enhancement capabilities. Upon import, platform and rig information is validated. Warnings are generated when there are inconsistencies between input data and the data in the AIR industry exposure database. Invalid combinations of data are identified. For example, if the input platform type is not compatible with a certain location due to the water depth at that location, an error message is generated with suggestions on how to fix the problem. Both CLASIC/2 and CATRADER use the AIR U.S. Hurricane Model s catalog of simulated events, which enables users to easily assess correlations between onshore and offshore properties in the U.S., the Gulf of Mexico and the Caribbean. Because a single, unified event catalog is used, onshore and offshore losses can be easily combined. Reinsurance programs can be analyzed for all or just selected coverages. Losses can be accumulated for the Gulf of Mexico or for specific regions within the Gulf using the Applies to Areas or Zone features. Reinsurance programs can be analyzed in CATRADER for all or selected coverages In many cases, detailed platform characteristics are missing from policy data. In those cases, CLASIC/2 can augment the data using AIR s industry exposure database, for a more accurate analysis of the risk. AIR s exposure database contains up-to-date information on the detailed characteristics of nearly 6,000 platforms and rigs in both state and federal waters. CATRADER users can enter their exposures either on a sums-insured or number-of-risks basis, or import a CLF containing both onshore and offshore losses from CLASIC/2. (AIR strongly encourages the use of CLF s rather than sums insured or number of risks when analyzing offshore risk in CATRADER. Detailed modeling is recommended due to the variability in types of platforms, platform-specific construction details, coverages and policy terms characteristic of this line of business.) MODEL Highlights Features separate modules for wind and wave hazard calculations, and separate damage functions to estimate the physical damage from wind and wave forces. Losses validated against detailed claims data for Ivan, Katrina, and Rita representing close to 50% of total claims paid. Supports complex policy terms including Combined Single Limits, Sublimits, and Assured Interest. CLASIC/2 implementation supports extensive data validation and data augmentation based on AIR s detailed industry exposure database. Uses the AIR U.S. Hurricane Model s catalog of simulated events, which enables users to easily create a combined distribution of losses for onshore and offshore properties in the U.S., the Gulf of Mexico and the Caribbean.

6 About AIR Worldwide Corporation AIR Worldwide Corporation (AIR) is the scientific leader and most respected provider of risk modeling software and consulting services. AIR founded the catastrophe modeling industry in 1987 and today models the risk from natural catastrophes and terrorism in more than 50 countries. More than 400 insurance, reinsurance, financial, corporate and government clients rely on AIR software and services for catastrophe risk management, insurance-linked securities, site-specific wind and seismic engineering analyses, and property replacement cost valuation. AIR is a member of the ISO family of companies and is headquartered in Boston with additional offices in North America, Europe and Asia. For more information please visit AIR WORLDWIDE CATRADER is a U.S. registered trademark of AIR Worldwide Corporation. CLASIC/2 is a trademark of AIR Worldwide Corporation. AIR WORLDWIDE 131 Dartmouth Street, Boston, MA T: F:

AIR Worldwide Analysis: Exposure Data Quality

AIR Worldwide Analysis: Exposure Data Quality AIR Worldwide Analysis: Exposure Data Quality AIR Worldwide Corporation November 14, 2005 ipf Copyright 2005 AIR Worldwide Corporation. All rights reserved. Restrictions and Limitations This document may

More information

The AIR Coastal Flood Model for Great Britain

The AIR Coastal Flood Model for Great Britain The AIR Coastal Flood Model for Great Britain The North Sea Flood of 1953 inundated more than 100,000 hectares in eastern England. More than 24,000 properties were damaged, and 307 people lost their lives.

More information

The AIR Typhoon Model for South Korea

The AIR Typhoon Model for South Korea The AIR Typhoon Model for South Korea Every year about 30 tropical cyclones develop in the Northwest Pacific Basin. On average, at least one makes landfall in South Korea. Others pass close enough offshore

More information

AIR s 2013 Global Exceedance Probability Curve. November 2013

AIR s 2013 Global Exceedance Probability Curve. November 2013 AIR s 2013 Global Exceedance Probability Curve November 2013 Copyright 2013 AIR Worldwide. All rights reserved. Information in this document is subject to change without notice. No part of this document

More information

The AIR Crop Hail Model for the United States

The AIR Crop Hail Model for the United States The AIR Crop Hail Model for the United States Large hailstorms impacted the Plains States in early July of 2016, leading to an increased industry loss ratio of 90% (up from 76% in 2015). The largest single-day

More information

Sensitivity Analyses: Capturing the. Introduction. Conceptualizing Uncertainty. By Kunal Joarder, PhD, and Adam Champion

Sensitivity Analyses: Capturing the. Introduction. Conceptualizing Uncertainty. By Kunal Joarder, PhD, and Adam Champion Sensitivity Analyses: Capturing the Most Complete View of Risk 07.2010 Introduction Part and parcel of understanding catastrophe modeling results and hence a company s catastrophe risk profile is an understanding

More information

The AIR Inland Flood Model for Great Britian

The AIR Inland Flood Model for Great Britian The AIR Inland Flood Model for Great Britian The year 212 was the UK s second wettest since recordkeeping began only 6.6 mm shy of the record set in 2. In 27, the UK experienced its wettest summer, which

More information

Modeling Extreme Event Risk

Modeling Extreme Event Risk Modeling Extreme Event Risk Both natural catastrophes earthquakes, hurricanes, tornadoes, and floods and man-made disasters, including terrorism and extreme casualty events, can jeopardize the financial

More information

InterContinental Boston September 30 October 1, 2009

InterContinental Boston September 30 October 1, 2009 InterContinental Boston September 30 October 1, 2009 Wednesday, September 30 Thursday, October 1 7:30 8:30 Breakfast 8:30 9:00 Welcome 9:00 9:45 AIR Software Roadmap 9:45: 10:30 What s New in CLASIC/2

More information

AIRCurrents by David A. Lalonde, FCAS, FCIA, MAAA and Pascal Karsenti

AIRCurrents by David A. Lalonde, FCAS, FCIA, MAAA and Pascal Karsenti SO YOU WANT TO ISSUE A CAT BOND Editor s note: In this article, AIR senior vice president David Lalonde and risk consultant Pascal Karsenti offer a primer on the catastrophe bond issuance process, including

More information

The AIR Institute's Certified Extreme Event Modeler Program MEETING THE GROWING NEED FOR TALENT IN CATASTROPHE MODELING & RISK MANAGEMENT

The AIR Institute's Certified Extreme Event Modeler Program MEETING THE GROWING NEED FOR TALENT IN CATASTROPHE MODELING & RISK MANAGEMENT The AIR Institute's Certified Extreme Event Modeler Program MEETING THE GROWING NEED FOR TALENT IN CATASTROPHE MODELING & RISK MANAGEMENT The increased focus on extreme event risk management by corporate

More information

MEETING THE GROWING NEED FOR TALENT IN CATASTROPHE MODELING & RISK MANAGEMENT

MEETING THE GROWING NEED FOR TALENT IN CATASTROPHE MODELING & RISK MANAGEMENT MEETING THE GROWING NEED FOR TALENT IN CATASTROPHE MODELING & RISK MANAGEMENT The increased focus on catastrophe risk management by corporate boards, executives, rating agencies, and regulators has fueled

More information

AIRCURRENTS: NEW TOOLS TO ACCOUNT FOR NON-MODELED SOURCES OF LOSS

AIRCURRENTS: NEW TOOLS TO ACCOUNT FOR NON-MODELED SOURCES OF LOSS JANUARY 2013 AIRCURRENTS: NEW TOOLS TO ACCOUNT FOR NON-MODELED SOURCES OF LOSS EDITOR S NOTE: In light of recent catastrophes, companies are re-examining their portfolios with an increased focus on the

More information

Catastrophe Risk Engineering Solutions

Catastrophe Risk Engineering Solutions Catastrophe Risk Engineering Solutions Catastrophes, whether natural or man-made, can damage structures, disrupt process flows and supply chains, devastate a workforce, and financially cripple a company

More information

Understanding and managing damage uncertainty in catastrophe models Goran Trendafiloski Adam Podlaha Chris Ewing OASIS LMF 1

Understanding and managing damage uncertainty in catastrophe models Goran Trendafiloski Adam Podlaha Chris Ewing OASIS LMF 1 Understanding and managing damage uncertainty in catastrophe models 10.11.2017 Goran Trendafiloski Adam Podlaha Chris Ewing OASIS LMF 1 Introduction Natural catastrophes represent a significant contributor

More information

AIR Inland Flood Model for Central Europe

AIR Inland Flood Model for Central Europe AIR Inland Flood Model for Central Europe In August 2002, an epic flood on the Elbe and Vltava rivers caused insured losses of EUR 1.8 billion in Germany and EUR 1.6 billion in Austria and Czech Republic.

More information

AIRCURRENTS: BLENDING SEVERE THUNDERSTORM MODEL RESULTS WITH LOSS EXPERIENCE DATA A BALANCED APPROACH TO RATEMAKING

AIRCURRENTS: BLENDING SEVERE THUNDERSTORM MODEL RESULTS WITH LOSS EXPERIENCE DATA A BALANCED APPROACH TO RATEMAKING MAY 2012 AIRCURRENTS: BLENDING SEVERE THUNDERSTORM MODEL RESULTS WITH LOSS EXPERIENCE DATA A BALANCED APPROACH TO RATEMAKING EDITOR S NOTE: The volatility in year-to-year severe thunderstorm losses means

More information

The AIR. Earthquake Model for Canada

The AIR. Earthquake Model for Canada The AIR Earthquake Model for Canada Magnitude 3.0 to 3.9 4.0 to 4.9 5.0 to 5.9 6.0 to 6.9 > 7.0 Vancouver Quebec City Ottawa 250 Historical earthquakes (Source: AIR Worldwide and Geological Survey of Canada)

More information

Understanding CCRIF s Hurricane, Earthquake and Excess Rainfall Policies

Understanding CCRIF s Hurricane, Earthquake and Excess Rainfall Policies Understanding CCRIF s Hurricane, Earthquake and Excess Rainfall Policies Technical Paper Series # 1 Revised March 2015 Background and Introduction G overnments are often challenged with the significant

More information

Earthquake in Australia Are You Prepared?

Earthquake in Australia Are You Prepared? AIR CURRENTS SPECIAL FEATURE Earthquake in Australia Are You Prepared? EVENT: MODEL: STOCHASTIC EVENT ID: 510000098 LOCATION: EPICENTER DEPTH: ESTIMATED INSURED LOSS: ANNUAL EXCEEDANCE PROBABILITY: EVENT

More information

Catastrophe Models: Learning from Superstorm Sandy

Catastrophe Models: Learning from Superstorm Sandy Catastrophe Models: Learning from Superstorm Sandy January 2013 Lockton Companies Although Superstorm Sandy was only a Category 1 hurricane, it made landfall on October 29 as the largest Atlantic hurricane

More information

Value at Risk. january used when assessing capital and solvency requirements and pricing risk transfer opportunities.

Value at Risk. january used when assessing capital and solvency requirements and pricing risk transfer opportunities. january 2014 AIRCURRENTS: Modeling Fundamentals: Evaluating Edited by Sara Gambrill Editor s Note: Senior Vice President David Lalonde and Risk Consultant Alissa Legenza describe various risk measures

More information

MODEL VULNERABILITY Author: Mohammad Zolfaghari CatRisk Solutions

MODEL VULNERABILITY Author: Mohammad Zolfaghari CatRisk Solutions BACKGROUND A catastrophe hazard module provides probabilistic distribution of hazard intensity measure (IM) for each location. Buildings exposed to catastrophe hazards behave differently based on their

More information

Earthquake in Colombia Are You Prepared?

Earthquake in Colombia Are You Prepared? AIR CURRENTS SPECIAL FEATURE Earthquake in Colombia Are You Prepared? EVENT: MODEL: STOCHASTIC EVENT ID: 710115902 LOCATION: EPICENTER DEPTH: ESTIMATED INSURED LOSS: ANNUAL EXCEEDANCE PROBABILITY: Magnitude

More information

The AIR Model for Terrorism

The AIR Model for Terrorism The AIR Model for Terrorism More than a decade after 9/11, terrorism remains a highly dynamic threat capable of causing significant insurance losses. The AIR model takes a probabilistic approach to estimating

More information

Minimizing Basis Risk for Cat-In- Catastrophe Bonds Editor s note: AIR Worldwide has long dominanted the market for. By Dr.

Minimizing Basis Risk for Cat-In- Catastrophe Bonds Editor s note: AIR Worldwide has long dominanted the market for. By Dr. Minimizing Basis Risk for Cat-In- A-Box Parametric Earthquake Catastrophe Bonds Editor s note: AIR Worldwide has long dominanted the market for 06.2010 AIRCurrents catastrophe risk modeling and analytical

More information

Impact of the New Standard Reinsurance Agreement (SRA) on Multi-Peril Crop Insurance (MPCI) Gain and Loss Probabilities

Impact of the New Standard Reinsurance Agreement (SRA) on Multi-Peril Crop Insurance (MPCI) Gain and Loss Probabilities Impact of the New Standard Reinsurance Agreement (SRA) on Multi-Peril Crop Insurance (MPCI) Gain and Loss Probabilities Oscar Vergara 1 (overgara@air-worldwide.com) Jack Seaquist (jseaquist@air-worldwide.com)

More information

4/20/17. A Tale of Too Many Claims

4/20/17. A Tale of Too Many Claims A Tale of Too Many Claims 1 Case Study 1 The Biltmore Hotel Coral Gables, Florida Dates of Loss Hurricane Katrina August 25, 2005 Hurricane Wilma October 24, 2005 The Biltmore Hotel in Coral Gables Florida

More information

Singapore Reinsurance Market VS Natural Catastrophes

Singapore Reinsurance Market VS Natural Catastrophes Singapore Reinsurance Market VS Natural Catastrophes 5th General Insurance Conference Singapore Actuarial Society 30-31 May 2013 - Resorts World Sentosa. Singapore 2 General Insurance Industry: underlying

More information

Catastrophe Reinsurance Pricing

Catastrophe Reinsurance Pricing Catastrophe Reinsurance Pricing Science, Art or Both? By Joseph Qiu, Ming Li, Qin Wang and Bo Wang Insurers using catastrophe reinsurance, a critical financial management tool with complex pricing, can

More information

An Introduction to Natural Catastrophe Modelling at Twelve Capital. Dr. Jan Kleinn Head of ILS Analytics

An Introduction to Natural Catastrophe Modelling at Twelve Capital. Dr. Jan Kleinn Head of ILS Analytics An Introduction to Natural Catastrophe Modelling at Twelve Capital Dr. Jan Kleinn Head of ILS Analytics For professional/qualified investors use only, Q2 2015 Basic Concept Hazard Stochastic modelling

More information

Reimagine Risk Management

Reimagine Risk Management Own the risk. Reimagine Risk Management The challenges today s risk managers face are relentless. Losses seem to grow larger with each new event. Nonmodeled sources of risk emerge and reveal new vulnerabilities.

More information

Pioneer ILS Interval Fund

Pioneer ILS Interval Fund Pioneer ILS Interval Fund COMMENTARY Performance Analysis & Commentary March 2016 Fund Ticker Symbol: XILSX us.pioneerinvestments.com First Quarter Review The Fund returned 1.35%, net of fees, in the first

More information

MINERALS MANAGEMENT SERVICE

MINERALS MANAGEMENT SERVICE MINERALS MANAGEMENT SERVICE Mission The Minerals Management Service was formed by Secretarial Order in 1982 to facilitate the Nation s mineral revenue collection efforts and the management of its Outer

More information

2015 International Workshop on Typhoon and Flood- APEC Experience Sharing on Hazardous Weather Events and Risk Management.

2015 International Workshop on Typhoon and Flood- APEC Experience Sharing on Hazardous Weather Events and Risk Management. 2015/05/27 Taipei Outlines The typhoon/flood disasters in Taiwan Typhoon/flood insurance in Taiwan Introduction of Catastrophe risk model (CAT Model) Ratemaking- Using CAT Model Conclusions 1 The Statistic

More information

Presenters. Bracken Engineering. Structures Disasters Forensics

Presenters. Bracken Engineering. Structures Disasters Forensics Presenters Bill Bracken, PE John Minor, CGC Bracken Engineering Structures Disasters Forensics Hurricane Ike Pre & Post FIRM Ike Pre Firm Post Firm FEMA Background The NFIP requires the mortgage loans

More information

IVANS 2008 XCHANGE CONFERENCE Key Communications Issues Facing the Property/Casualty Insurance Industry in 2008

IVANS 2008 XCHANGE CONFERENCE Key Communications Issues Facing the Property/Casualty Insurance Industry in 2008 IVANS 2008 XCHANGE CONFERENCE Key Communications Issues Facing the Property/Casualty Insurance Industry in 2008 Tampa, Florida February 7, 2008 Jeanne. M. Salvatore Senior Vice President, Public Affairs

More information

Talk Components. Wharton Risk Center & Research Context TC Flood Research Approach Freshwater Flood Main Results

Talk Components. Wharton Risk Center & Research Context TC Flood Research Approach Freshwater Flood Main Results Dr. Jeffrey Czajkowski (jczaj@wharton.upenn.edu) Willis Research Network Autumn Seminar November 1, 2017 Talk Components Wharton Risk Center & Research Context TC Flood Research Approach Freshwater Flood

More information

Real World Case Study: Using Location Intelligence to Manage Risk Exposures. Giles Holland Aggregation Monitoring & BI Analyst

Real World Case Study: Using Location Intelligence to Manage Risk Exposures. Giles Holland Aggregation Monitoring & BI Analyst Real World Case Study: Using Location Intelligence to Manage Risk Exposures Giles Holland Aggregation Monitoring & BI Analyst 1 Overview Who Amlin are Why Amlin need MapInfo Development of Amlin s exposure

More information

Swiber Holdings Limited

Swiber Holdings Limited Swiber Holdings Limited Corporate Presentation 23 November 2006 A niche service provider to the offshore oil and gas industry Forward Looking Statements Important Note The following presentation contain

More information

Investor Presentation. March 2015

Investor Presentation. March 2015 Investor Presentation March 2015 1 Forward-Looking Statements Statements contained in this presentation that are not historical facts are forward-looking statements within the meaning of Section 27A of

More information

CL-3: Catastrophe Modeling for Commercial Lines

CL-3: Catastrophe Modeling for Commercial Lines CL-3: Catastrophe Modeling for Commercial Lines David Lalonde, FCAS, FCIA, MAAA Casualty Actuarial Society, Ratemaking and Product Management Seminar March 12-13, 2013 Huntington Beach, CA 2013 AIR WORLDWIDE

More information

INTRODUCTION TO NATURAL HAZARD ANALYSIS

INTRODUCTION TO NATURAL HAZARD ANALYSIS INTRODUCTION TO NATURAL HAZARD ANALYSIS November 19, 2013 Thomas A. Delorie, Jr. CSP Managing Director Natural Hazards Are Global and Include: Earthquake Flood Hurricane / Tropical Cyclone / Typhoon Landslides

More information

The impact of present and future climate changes on the international insurance & reinsurance industry

The impact of present and future climate changes on the international insurance & reinsurance industry Copyright 2007 Willis Limited all rights reserved. The impact of present and future climate changes on the international insurance & reinsurance industry Fiona Shaw MSc. ACII Executive Director Willis

More information

SEACOR MARINE ANNOUNCES RESULTS FOR ITS FOURTH QUARTER AND YEAR ENDED DECEMBER 31, 2017

SEACOR MARINE ANNOUNCES RESULTS FOR ITS FOURTH QUARTER AND YEAR ENDED DECEMBER 31, 2017 PRESS RELEASE SEACOR MARINE ANNOUNCES RESULTS FOR ITS FOURTH QUARTER AND YEAR ENDED DECEMBER 31, Houma, Louisiana March 22, 2018 FOR IMMEDIATE RELEASE - SEACOR Marine Holdings Inc. (NYSE:SMHI) (the Company

More information

At USD 144 billion, global insured losses from disaster events in 2017 were the highest ever, sigma study says

At USD 144 billion, global insured losses from disaster events in 2017 were the highest ever, sigma study says c*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- At USD 144 billion, global insured losses from disaster events in 2017 were the highest ever, sigma study says Total global economic losses from natural disasters

More information

Building a Resilient Energy Gulf Coast: Executive Report

Building a Resilient Energy Gulf Coast: Executive Report Building a Resilient Energy Gulf Coast: Executive Report Summary http://americaswetland.com http://entergy.com/gulfcoastadaptation Over the past year, Entergy Corporation has worked to develop a framework

More information

The AIR Inland Flood Model for the United States

The AIR Inland Flood Model for the United States The AIR Inland Flood Model for the United States In Spring 2011, heavy rainfall and snowmelt produced massive flooding along the Mississippi River, inundating huge swaths of land across seven states. As

More information

QUICK GUIDE. An Introduction to COPE Data. Copyright 2017 AssetWorks Inc. All Rights Reserved. For more information visit,

QUICK GUIDE. An Introduction to COPE Data. Copyright 2017 AssetWorks Inc. All Rights Reserved. For more information visit, QUICK GUIDE An Introduction to COPE Data An Introduction to COPE Data The collection of COPE data is important for organizations. It s four data categories construction, occupancy, protection, and exposure

More information

Fundamentals of Catastrophe Modeling. CAS Ratemaking & Product Management Seminar Catastrophe Modeling Workshop March 15, 2010

Fundamentals of Catastrophe Modeling. CAS Ratemaking & Product Management Seminar Catastrophe Modeling Workshop March 15, 2010 Fundamentals of Catastrophe Modeling CAS Ratemaking & Product Management Seminar Catastrophe Modeling Workshop March 15, 2010 1 ANTITRUST NOTICE The Casualty Actuarial Society is committed to adhering

More information

Superstorm Sandy: Lessons Learned and the Changing Landscape of the Homeowners and Commercial Insurance Markets

Superstorm Sandy: Lessons Learned and the Changing Landscape of the Homeowners and Commercial Insurance Markets Superstorm Sandy: Lessons Learned and the Changing Landscape of the Homeowners and Commercial Insurance Markets The Insurance Council of New Jersey (ICNJ) 36 th Annual Meeting & Conference The Hamilton

More information

Economic impact of Hurricane Harvey

Economic impact of Hurricane Harvey Economic impact of Hurricane Harvey Nathaniel Karp, Marcial Nava, Boyd Nash-Stacey, Filip Blazheski 30 August 2017 Harvey will be remembered as one of the most destructive storms in U.S. history Gross

More information

Insurance Recovery for Losses Related to Hurricane Harvey

Insurance Recovery for Losses Related to Hurricane Harvey Insurance Recovery AUGUST 2017 Insurance Recovery for Losses Related to Hurricane Harvey INSURANCE FOR PROPERTY DAMAGE AND BUSINESS INTERRUPTION LOSSES Businesses and communities throughout Texas and the

More information

RespondTM. You can t do anything about the weather. Or can you?

RespondTM. You can t do anything about the weather. Or can you? RespondTM You can t do anything about the weather. Or can you? You can t do anything about the weather Or can you? How insurance firms are using sophisticated natural hazard tracking, analysis, and prediction

More information

Advances in Catastrophe Modeling Primary Insurance Perspective

Advances in Catastrophe Modeling Primary Insurance Perspective Advances in Catastrophe Modeling Primary Insurance Perspective Jon Ward May 2015 The Underwriter must be Empowered The foundational element of our industry is underwriting A model will never replace the

More information

Natural Perils and Insurance

Natural Perils and Insurance Natural Perils and Insurance Quiz Question #1 Which floor in a high rise building should be avoided in an earthquake prone area? 1) First Floor 2) Third Floor 3) Top Floor 4) High rise buildings should

More information

CLAIM SUMMARY / DETERMINATION FORM

CLAIM SUMMARY / DETERMINATION FORM CLAIM SUMMARY / DETERMINATION FORM Date : 2/12/2009 Claim Number : N06008-002 Claimant : K-Sea Operating Partnership L P Type of Claimant : Corporate (US) Type of Claim : Limit of Liability Claim Manager

More information

Meeting the Challenges of Change

Meeting the Challenges of Change Natural Catastrophes - Lessons for the Indian Market from 2011 Global Experience Jyoti Majumdar Vice President, Head Cat Perils Asia Hub Swiss Reinsurance Company, Bangalore Meeting the Challenges of Change

More information

NIIT Technologies White Paper

NIIT Technologies White Paper www.niit-tech.com Catastrophe Exposure Management Surekha Sugandhi Insurance Practice - Solution Architect NIIT Technologies White Paper CONTENTS Introduction 3 How it impacts insurers? 3 How Natural Catastrophe

More information

Journal of. Reinsurance

Journal of. Reinsurance Spring 2005 Vol. 12 No. 2 Journal of Reinsurance Feature Articles Reinsurance for Captives - An Overview The Effect of the Wallace & Gale Decision - A Potential For More Asbestos Disputes Among Insurers

More information

Mike Waters VP Risk Decision Services Bob Shoemaker Sr. Technical Coordinator. Insurance Services Office, Inc

Mike Waters VP Risk Decision Services Bob Shoemaker Sr. Technical Coordinator. Insurance Services Office, Inc Mike Waters VP Risk Decision Services Bob Shoemaker Sr. Technical Coordinator Insurance Services Office, Inc Disasters Large and Small A Convergence of Interests Public and Private ESRI Homeland Security

More information

The AIR Multiple Peril Crop Insurance Model for China

The AIR Multiple Peril Crop Insurance Model for China The AIR Multiple Peril Crop Insurance Model for China Participation in China s Multiple Peril Crop Insurance (MPCI) program has dramatically increased since 2007. The growth in insurance penetration, together

More information

CNSF XXIV International Seminar on Insurance and Surety

CNSF XXIV International Seminar on Insurance and Surety CNSF XXIV International Seminar on Insurance and Surety Internal models 20 November 2014 Mehmet Ogut Internal models Agenda (1) SST overview (2) Current market practice (3) Learnings from validation of

More information

Acquisition of Ferguson Group. 9 September 2014

Acquisition of Ferguson Group. 9 September 2014 Acquisition of Ferguson Group 9 September 2014 Strategic highlights Continuing our expansion in specialist containers Ferguson Group is a leading provider of container solutions (mostly cargocarrying units)

More information

Insurance Recovery for Losses Related to Hurricane Irma

Insurance Recovery for Losses Related to Hurricane Irma Insurance Recovery SEPTEMBER 2017 Insurance Recovery for Losses Related to Hurricane Irma Insurance for Property Damage and Business Interruption Losses Businesses and communities throughout Florida, the

More information

UNITED STATES SECURITIES AND EXCHANGE COMMISSION. Washington, D.C FORM 8-K CURRENT REPORT. Pursuant to Section 13 or 15(d) of the

UNITED STATES SECURITIES AND EXCHANGE COMMISSION. Washington, D.C FORM 8-K CURRENT REPORT. Pursuant to Section 13 or 15(d) of the UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 FORM 8-K CURRENT REPORT Pursuant to Section 13 or 15(d) of the Securities Exchange Act of 1934 Date of Report (Date of Earliest Event

More information

NHO Sundwall - presentation Natural Catastrophes. Dorte Birkebæk, Swiss Re Corporate Solutions, Country Manager Nordics, 11 and 12 of November 2014

NHO Sundwall - presentation Natural Catastrophes. Dorte Birkebæk, Swiss Re Corporate Solutions, Country Manager Nordics, 11 and 12 of November 2014 NHO Sundwall - presentation Natural Catastrophes Dorte Birkebæk, Swiss Re Corporate Solutions, Country Manager Nordics, 11 and 12 of November 2014 Table of Contents / Agenda 40 Years of Loss History Various

More information

MINERALS MANAGEMENT SERVICE

MINERALS MANAGEMENT SERVICE MINERALS MANAGEMENT SERVICE Mission The Minerals Management Service was formed by Secretarial Order in 1982 to facilitate the Nation s mineral revenue collection efforts and the management of its Outer

More information

Article from: Risk Management. June 2009 Issue 16

Article from: Risk Management. June 2009 Issue 16 Article from: Risk Management June 29 Issue 16 CHSPERSON S Risk quantification CORNER A Review of the Performance of Near Term Hurricane Models By Karen Clark Introduction Catastrophe models are valuable

More information

Upstream Risks. 18 th September 2013, Oslo, Norway. June 15, 2009 PAGE 1

Upstream Risks. 18 th September 2013, Oslo, Norway. June 15, 2009 PAGE 1 Upstream Risks 18 th September 2013, Oslo, Norway PAGE 1 Agenda Hess Upstream Risks Commercial/Political Exploration/Technical Construction Operations Pollution Insurability Decommissioning Risk Allocation

More information

FLNG / LNG FSRU Terminals RISK and INSURANCE ISSUES 7 th July Paul Nicholson Marsh LNG Practice Leader LEG Construction Seminar, London

FLNG / LNG FSRU Terminals RISK and INSURANCE ISSUES 7 th July Paul Nicholson Marsh LNG Practice Leader LEG Construction Seminar, London FLNG / LNG FSRU Terminals RISK and INSURANCE ISSUES 7 th July 2015 Paul Nicholson Marsh LNG Practice Leader LEG Construction Seminar, London Section 1 FLNG - LIQUEFACTION INDUSTRY OVERVIEW FLNG Capacity

More information

Canadian Institute of Actuaries Conference CATASTROPHE MODELING 2012 AND BEYOND JUNE 21, Sherry Thomas Krista Lienau

Canadian Institute of Actuaries Conference CATASTROPHE MODELING 2012 AND BEYOND JUNE 21, Sherry Thomas Krista Lienau Canadian Institute of Actuaries Conference CATASTROPHE MODELING 2012 AND BEYOND JUNE 21, 2012 Sherry Thomas Krista Lienau Catastrophe Modeling 2012 and Beyond Agenda Current landscape of Canadian catastrophe

More information

CAT301 Catastrophe Management in a Time of Financial Crisis. Will Gardner Aon Re Global

CAT301 Catastrophe Management in a Time of Financial Crisis. Will Gardner Aon Re Global CAT301 Catastrophe Management in a Time of Financial Crisis Will Gardner Aon Re Global Agenda CAT101 and CAT201 Revision The Catastrophe Control Cycle Implications of the Financial Crisis CAT101 - An Application

More information

A Multihazard Approach to Building Safety: Using FEMA Publication 452 as a Mitigation Tool

A Multihazard Approach to Building Safety: Using FEMA Publication 452 as a Mitigation Tool Mila Kennett Architect/Manager Risk Management Series Risk Reduction Branch FEMA/Department of Homeland Security MCEER Conference, September 18, 2007, New York City A Multihazard Approach to Building Safety:

More information

Presented by: Lynne McChristian, Insurance Information Institute

Presented by: Lynne McChristian, Insurance Information Institute Presented by: Lynne McChristian, Insurance Information Institute October 15, 2009 AGENDA Pre-event activities Planning, tools and training As the storm approaches An inside look at how insurers prepare

More information

Flood Insurance THE TOPIC OCTOBER 2012

Flood Insurance THE TOPIC OCTOBER 2012 Flood Insurance THE TOPIC OCTOBER 2012 Because of frequent flooding of the Mississippi River during the 1960s and the rising cost of taxpayer funded disaster relief for flood victims, in 1968 Congress

More information

THE IMPACT OF 9/11 AND HURRICANE KATRINA ON INSURANCE FOR NATURAL DISASTERS

THE IMPACT OF 9/11 AND HURRICANE KATRINA ON INSURANCE FOR NATURAL DISASTERS PORT ADMINISTRATION AND LEGAL ISSUES AMERICAN ASSOCIATION OF PORT AUTHORITIES FEBRUARY 12, 2007 THE IMPACT OF 9/11 AND HURRICANE KATRINA ON INSURANCE FOR NATURAL DISASTERS Finley T. Harckham (212) 278-1543

More information

Third Quarter 2018 Update

Third Quarter 2018 Update Third Quarter 2018 Update Investor Relations Contacts: Lance Loeffler, Vice President Marina Matselinskaya, Director 281-871-2688 or investors@halliburton.com NYSE Stock Symbol: HAL Common Dividend: $0.18

More information

Flood Solutions. Summer 2018

Flood Solutions. Summer 2018 Flood Solutions Summer 2018 Flood Solutions g Summer 2018 Table of Contents Flood for Lending Life of Loan Flood Determination... 2 Multiple Structure Indicator... 2 Future Flood... 2 Natural Hazard Risk...

More information

INDEX BASED RISK TRANSFER AND INSURANCE MECHANISMS FOR ADAPTATION. Abedalrazq Khalil, PhD Water Resources Specialist, World Bank

INDEX BASED RISK TRANSFER AND INSURANCE MECHANISMS FOR ADAPTATION. Abedalrazq Khalil, PhD Water Resources Specialist, World Bank INDEX BASED RISK TRANSFER AND INSURANCE MECHANISMS FOR ADAPTATION Abedalrazq Khalil, PhD Water Resources Specialist, World Bank Outline Introduction: Climate Change and Extremes Index Based Risk Transfer:

More information

HURRICANE SEASON: SMALL BUSINESS DISASTER READINESS CHECKLIST

HURRICANE SEASON: SMALL BUSINESS DISASTER READINESS CHECKLIST HURRICANE SEASON: SMALL BUSINESS DISASTER READINESS CHECKLIST WELCOME In Louisiana and throughout the southeast region, business owners must be aware of the threats posed during hurricane season. According

More information

ADVISORY BASE FLOOD ELEVATIONS (ABFEs)

ADVISORY BASE FLOOD ELEVATIONS (ABFEs) The Department of Homeland Security s Federal Emergency Management Agency is committed to helping communities that were impacted by Hurricanes Katrina and Rita rebuild safer and stronger. Following catastrophic

More information

FOR IMMEDIATE RELEASE 20 FEBRUARY 2018 PACC OFFSHORE SERVICES HOLDINGS LTD. MEDIA RELEASE

FOR IMMEDIATE RELEASE 20 FEBRUARY 2018 PACC OFFSHORE SERVICES HOLDINGS LTD. MEDIA RELEASE PACC OFFSHORE SERVICES HOLDINGS LTD. MEDIA RELEASE FY: REVENUE GROWTH DESPITE FURTHER IMPAIRMENTS TO GOODWILL AND FIXED ASSETS Q4 FY revenue up 71 on strong growth in Offshore Accommodation and Offshore

More information

Investor Presentation. April 2015

Investor Presentation. April 2015 Investor Presentation April 2015 1 Forward-Looking Statements Statements contained in this presentation that are not historical facts are forward-looking statements within the meaning of Section 27A of

More information

Loss of Production Income An Underwriter s Perspective. Paul W. Dawson. Joint Rig Committee

Loss of Production Income An Underwriter s Perspective. Paul W. Dawson. Joint Rig Committee Loss of Production Income An Underwriter s Perspective Paul W. Dawson Joint Rig Committee % of GOM Daily Shut-In Production for Hurricanes Ivan & Katrina Shut in Tuesday September 13 th Oil 846,720 BOPD,

More information

Managing Typhoon. South Korea s Typhoon Climatology. by Dr. Peter Sousounis, Dr. Mary Louie, Dr. Cagdas Kafali, and Mr.

Managing Typhoon. South Korea s Typhoon Climatology. by Dr. Peter Sousounis, Dr. Mary Louie, Dr. Cagdas Kafali, and Mr. Managing Typhoon Risk in South Korea 12.2010 Jason Dr. Cagdas Kafali, and Mr. Butke South Korea is at risk from a variety of natural disasters including landslides, severe winter storms and even tsunamis

More information

AIR Atlantic Tropical Cyclone Model v as Implemented in Touchstone v3.0.0

AIR Atlantic Tropical Cyclone Model v as Implemented in Touchstone v3.0.0 AIR Atlantic Tropical Cyclone Model v15.0.1 as Implemented in Touchstone v3.0.0 Introduction Presented to FCHLPM June 3, 2015 1 General Overview of Atlantic Tropical Cyclone Model Version 15.0.1 2 AIR

More information

SEACOR Marine Announces Second Quarter 2018 Results

SEACOR Marine Announces Second Quarter 2018 Results August 9, 2018 SEACOR Marine Announces Second Quarter 2018 Results Continued Improvement in Operating Performance Strengthened Balance Sheet HOUMA, La.--(BUSINESS WIRE)-- SEACOR Marine Holdings Inc. (NYSE:SMHI)

More information

VULNERABILITY FLOOD STANDARDS. VF-1 Derivation of Residential Structure Flood Vulnerability Functions

VULNERABILITY FLOOD STANDARDS. VF-1 Derivation of Residential Structure Flood Vulnerability Functions VULNERABILITY FLOOD STANDARDS VF-1 Derivation of Residential Structure Flood Vulnerability Functions A. Development of the residential structure flood vulnerability functions shall be based on at least

More information

VULNERABILITY ASSESSMENT

VULNERABILITY ASSESSMENT SOUTHSIDE HAMPTON ROADS HAZARD MITIGATION PLAN VULNERABILITY ASSESSMENT INTRODUCTION The Vulnerability Assessment section builds upon the information provided in the Hazard Identification and Analysis

More information

Structural Failure(s) MET Wind Flowing Around a House. Shutters. Breaching the Building Envelope Adds Internal Pressure to External Suction

Structural Failure(s) MET Wind Flowing Around a House. Shutters. Breaching the Building Envelope Adds Internal Pressure to External Suction MET 4532 Wind Engineering & Insurance Lecture 35 1-4 December 2017 How Do Buildings Fail in a Hurricane? Wind Flowing Around a House Pressure on windward walls Suction on roof & lee walls Breaching the

More information

RAA 2019: INSIGHTS GAINED FROM HURRICANE IRMA CLAIMS

RAA 2019: INSIGHTS GAINED FROM HURRICANE IRMA CLAIMS RAA 2019: INSIGHTS GAINED FROM HURRICANE IRMA CLAIMS AGENDA IDENTIFYING CLAIMS DATA VALUE FOR BUSINESS PURPOSES Overview of 2017 Catastrophes and Hurricane Irma Contribution Context of major US-landfalling

More information

GAO NATIONAL FLOOD INSURANCE PROGRAM. New Processes Aided Hurricane Katrina Claims Handling, but FEMA s Oversight Should Be Improved

GAO NATIONAL FLOOD INSURANCE PROGRAM. New Processes Aided Hurricane Katrina Claims Handling, but FEMA s Oversight Should Be Improved GAO United States Government Accountability Office Report to Congressional Committees December 2006 NATIONAL FLOOD INSURANCE PROGRAM New Processes Aided Hurricane Katrina Claims Handling, but FEMA s Oversight

More information

No. 19. Offshore Wind Energy in Europe Fresh Wind for Insurers, Too? A Berkshire Hathaway Company. Topics No. 19

No. 19. Offshore Wind Energy in Europe Fresh Wind for Insurers, Too? A Berkshire Hathaway Company. Topics No. 19 No. 19 Topics No. 19 Offshore Wind Energy in Europe Fresh Wind for Insurers, Too? A Berkshire Hathaway Company 10 Offshore Wind Energy in Europe Fresh Wind for Insurers, Too? Oliver Stein Oliver Stein

More information

GLOBAL ENERGY RISK IMPLICATIONS POST HURRICANE SYMPOSIUM

GLOBAL ENERGY RISK IMPLICATIONS POST HURRICANE SYMPOSIUM GLOBAL ENERGY RISK IMPLICATIONS POST HURRICANE SYMPOSIUM MARINE ENERGY POWER AEROSPACE AVIATION PROPERTY CASUALTY ENERGY INSURANCE IN THE GULF OF MEXICO IN YOU Dear Energy Industry Executives: UNDERSTANDING

More information

Catastrophe Exposures & Insurance Industry Catastrophe Management Practices. American Academy of Actuaries Catastrophe Management Work Group

Catastrophe Exposures & Insurance Industry Catastrophe Management Practices. American Academy of Actuaries Catastrophe Management Work Group Catastrophe Exposures & Insurance Industry Catastrophe Management Practices American Academy of Actuaries Catastrophe Management Work Group Overview Introduction What is a Catastrophe? Insurer Capital

More information

35 YEARS FLOOD INSURANCE CLAIMS

35 YEARS FLOOD INSURANCE CLAIMS 40 RESOURCES NO. 191 WINTER 2016 A Look at 35 YEARS FLOOD INSURANCE CLAIMS of An analysis of more than one million flood claims under the National Flood Insurance Program reveals insights to help homeowners

More information

Investor Presentation December 2015

Investor Presentation December 2015 Investor Presentation December 2015 1 Forward-Looking Statements Statements herein that are not historical facts are forward looking statements within the meaning of the Private Securities Litigation Reform

More information

Howard Weil Conference Presentation. March 2015

Howard Weil Conference Presentation. March 2015 Howard Weil Conference Presentation March 2015 1 Forward-Looking Statements Statements contained in this presentation that are not historical facts are forward-looking statements within the meaning of

More information

Better decision making under uncertain conditions using Monte Carlo Simulation

Better decision making under uncertain conditions using Monte Carlo Simulation IBM Software Business Analytics IBM SPSS Statistics Better decision making under uncertain conditions using Monte Carlo Simulation Monte Carlo simulation and risk analysis techniques in IBM SPSS Statistics

More information